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Data Quality is one key thing that needs focus but needs to be done at the right level of implementation.
We have build extensive Processes using Observe Point Audits and Few Custom Validation tools to check and make sure the data being captured is as per expectations.
The key validation has to happen before data lands to report suites and more automated validation you have the improvement in data quality is significant.
When you say "custom" validation tools - do you mean 3rd party tools or things you have built yourself?
Built it on our own. However, on the tools side Observe point has been really helpfull in enabling those tools.
So basically we been using the base as Observe point tool to provide the audit data and from that crawl data extract we were validation the data layer and variables, also setting up simulations to validate with use cases.